## Abstract This article examines a continuous time Markov chain model for a plantationβnursery system in which diseased plantation trees are replaced at a daily rate Ξ» by nursery seedlings. There is a random infection rate Ξ± caused by insects, and the disease is also spread directly between the __
A Simulation Model of a Seeding System for Rice Nurseries
β Scribed by Yi-Chich Chiu; Din-Sue Fon; Lung-Hua Chen
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 312 KB
- Volume
- 69
- Category
- Article
- ISSN
- 0021-8634
No coin nor oath required. For personal study only.
β¦ Synopsis
A simulation model for the seeding operation of rice nurseries in Taiwan has been developed. This model can be used as a tool to help managers of rice seedling centres to optimize their seeding operations in terms of worker allocation, speed of the seeding line and size of material hoppers. Also, the potential delays in the seeding system can clearly be detected through results of the simulation. These results indicate that the system seeding rate can be increased from 1571 to 1960 boxes/h which represents an increase of 24)8% in the throughput. Thus, there is scope for the whole system to be operated more efficiently. Based on the projected yearly production of 1 584 000 boxes per seedling centre, the improved system can save up to 33)3 workdays at each. The utilization rates of workers at 1960 boxes/h ranged between 53)3 and 73)9%. All are within a comfortable range of workload.
π SIMILAR VOLUMES
An idealized mathematical model of adaptive-system behavior, using conventional economic decision-theory assumptions, is stated. The data-processing capacity of this model is analyzed, revealing that it would be rapidly overwhelmed by even moderate complexity. To circumvent this difficulty, a practi
imulation: A Modeler's Approach by James R. Thompson is a thought-provoking overview of simulation as a computation-intensive way of doing statistics and modeling. The key idea of this emerging approach is to trade closed-form rigor for speed of model development and fidelity to the original proces